Modulating fatty acid metabolism and composition of CHO cells by feeding high levels of fatty acids complexed using methyl-β-cyclodextrin

IF 6.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Bradley Priem , Xiangchen Cai , Yu-Jun Hong , Karl Gilmore , Zijun Deng , Sabrina Chen , Harnish Mukesh Naik , Michael J. Betenbaugh , Maciek R. Antoniewicz
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Abstract

Chinese Hamster Ovary (CHO) cells are widely used in the pharmaceutical industry to produce therapeutic proteins. Increasing the productivity of CHO cells through media development and genetic engineering is a significant industry objective. Past research demonstrated the benefits of modulating fatty acid composition of CHO cells through genetic engineering. In this study, we describe an alternative approach to modulate fatty acid composition by directly feeding high levels of fatty acids in CHO cell culture. To accomplish this, we developed and optimized a pharmaceutically relevant feeding strategy using methyl-β-cyclodextrin (MBCD) to solubilize fatty acids. To quantify fatty acid composition of CHO cells, a new GC-MS protocol was developed and validated. In fed batch cultures, we found that the degree of saturation of fatty acids in CHO cell mass, i.e. the relative abundances of saturated, monounsaturated and polyunsaturated fatty acids, can be controlled by the choice of fatty acid supplement and feeding strategy. Feeding unsaturated fatty acids such as palmitoleic acid, oleic acid, and linoleic acid had the greatest impact the fatty acid composition of CHO cells, increasing their respective abundances in cell mass by upwards of 25x, 1.5x, and 50x, respectively. 13C-Tracing further revealed that the supplemented fatty acids were involved in a range of elongation, desaturation, and β-oxidation reactions to yield both common and uncommon fatty acids such as vaccenic acid and hypogeic acid. Finally, we show that CHO-K1 and CHO-GS cells take up fatty acids solubilized with MBCD at rates comparable to delivery using bovine serum albumin. Taken together, this work paves the way for new feed media formulations containing fatty acids to optimize CHO cell physiology in industrial cell cultures.

Abstract Image

通过喂食高水平的甲基-β-环糊精脂肪酸络合物来调节脂肪酸代谢和CHO细胞的组成
中国仓鼠卵巢细胞(CHO)被广泛应用于制药行业,以生产治疗性蛋白。通过培养基开发和基因工程提高CHO细胞的生产力是一个重要的行业目标。过去的研究表明,通过基因工程调节脂肪酸组成的CHO细胞的好处。在这项研究中,我们描述了一种通过在CHO细胞培养中直接喂食高水平脂肪酸来调节脂肪酸组成的替代方法。为了实现这一目标,我们开发并优化了甲基β-环糊精(MBCD)对脂肪酸的增溶策略。为了量化CHO细胞的脂肪酸组成,我们开发并验证了一种新的GC-MS方案。在分批培养中,我们发现CHO细胞团中脂肪酸的饱和程度,即饱和脂肪酸、单不饱和脂肪酸和多不饱和脂肪酸的相对丰度可以通过脂肪酸补充和饲养策略的选择来控制。饲喂棕榈油酸、油酸和亚油酸等不饱和脂肪酸对CHO细胞脂肪酸组成的影响最大,使其在细胞质量中的丰度分别增加了25倍、1.5倍和50倍以上。13c示踪进一步显示,补充的脂肪酸参与了一系列的延伸、去饱和和β-氧化反应,生成了常见和不常见的脂肪酸,如异丙酸和次氯酸。最后,我们发现CHO-K1和CHO-GS细胞以与牛血清白蛋白相当的速度吸收与MBCD溶解的脂肪酸。综上所述,这项工作为含有脂肪酸的新饲料培养基配方铺平了道路,以优化工业细胞培养中的CHO细胞生理。
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来源期刊
Metabolic engineering
Metabolic engineering 工程技术-生物工程与应用微生物
CiteScore
15.60
自引率
6.00%
发文量
140
审稿时长
44 days
期刊介绍: Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.
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